Co-phasing of the segmented mirror based on the generalized phase diversity wavefront sensor
Co-phasing of the segmented mirror based on the generalized phase diversity wavefront sensor
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DOI：
10.1117/12.923645
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发表时间：
2012-09
期刊：
影响因子：
--
通讯作者：
Changwei Li;Sijiong Zhang
中科院分区：
文献类型：
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作者：
Changwei Li;Sijiong Zhang
提出了一种基于广义相位差波前传感器的随机并行梯度下降算法，用于分块镜的共相位测量。针对传感器的强度图像，在不同的圆区域建立了优化算法的代价函数。为了实现高精度的同相，在分块镜像差随同相过程而减小的过程中，对波前传感器施加4个幅值递增的相位分集函数，以提高波前传感器输出信号的强度。利用模拟分块镜验证了该方法的可行性。数值实验表明，对于像差小于1.5个波长的分块镜，共相位精度很高。该算法具有很好的鲁棒性和抗噪性。
The stochastic parallel gradient descent algorithm based on the generalized phase diversity wavefront sensor is presented for co-phasing of segmented mirrors. Cost functions of the optimization algorithm were built up in different circular zones for intensity images of the sensor. In order to achieve high accuracy for co-phasing, four phase diversity functions with increasing amplitudes were applied to the sensor for improving the strength of output signal from the wavefront sensor during the aberrations of the segmented mirror decreasing with the co-phasing process. A simulated segmented mirror was used to test the feasibility of this method. The numerical experiments show that the co-phasing accuracy is very high for the aberrations of the segmented mirrors less than 1.5 wavelengths. And the algorithm is very robust and noise tolerant.